Machine Learning Techniques for Resource-Constrained Devices in IoT Applications with CP-ABE Scheme
- Title
- Machine Learning Techniques for Resource-Constrained Devices in IoT Applications with CP-ABE Scheme
- Creator
- Ancy P.R.; Krishna A.V.N.
- Description
- Ciphertext-policy attribute-based encryption (CP-ABE) is one of the promising schemes which provides security and fine-grain access control for outsourced data. The emergence of cloud computing allows many organizations to store their data, even sensitive data, in cloud storage. This raises the concern of security and access control of stored data in a third-party service provider. To solve this problem, CP-ABE can be used. CP-ABE cannot only be used in cloud computing but can also be used in other areas such as machine learning (ML) and the Internet of things (IoT). In this paper, the main focus is discussing the use of the CP-ABE scheme in different areas mainly ML and IoT. In ML, data sets are trained, and they can be used for decision-making in the CP-ABE scheme in several scenarios. IoT devices are mostly resource-constrained and has to process huge amounts of data so these kinds of resource-constrained devices cannot use the CP-ABE scheme. So, some solutions for these problems are discussed in this paper. Two security schemes used in resource-constrained devices are discussed. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Networks and Systems, Vol-613 LNNS, pp. 557-566.
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- CP-ABE; Encryption; IoT; Machine learning; Security
- Coverage
- Ancy P.R., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishna A.V.N., Computer Science and Engineering Department, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 23673370; ISBN: 978-981199378-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Ancy P.R.; Krishna A.V.N., “Machine Learning Techniques for Resource-Constrained Devices in IoT Applications with CP-ABE Scheme,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19941.